Economics of Transition Volume 8 (3) 2000, 577–601 The limits of discipline Ownership and hard budget constraints in the 1 transition economies † ‡ Roman Frydman*, Cheryl Gray**, Marek Hessel and Andrzej Rapaczynski *Department of Economics, New York University, 269 Mercer Street, New York, NY 10003, USA and Privatization Project. Tel: + (1) 212 9987 8900; E-mail: [email protected] **The World Bank † Formerly of Graduate School of Business, Fordham University, and Privatization Project ‡ Columbia University School of Law, and Privatization Project Abstract The existing literature on soft budget constraints suggests that firms may be subsidized for political reasons or because of the creditors’ desire to recover a part of the sunk cost invested in an earlier period. In all these models hard budget constraints are viewed as being, in principle, capable of inducing the necessary restructuring behaviour on the level of the firm. This paper argues that the imposition of financial discipline is not sufficient to remedy ownership and governance-related deficiencies of corporate performance. Using evidence from the post-communist transition economies, the paper shows that a policy of hard budget constraints cannot induce successful revenue restructuring, which requires entrepreneurial incentives inherent in certain ownership types (most notably, outside investors). The paper also shows that the policy of hard budget constraints falters when state firms, because of inferior revenue performance and less willingness to meet payment obligations, continue to pose a higher credit risk than privatized firms. The brunt of state firms’ lower creditworthiness falls on state creditors. But the ‘softness’ of these creditors, while harmful in many ways, is not necessarily irrational, if it prevents the demise of firms that are in principle capable of successful restructuring through ownership changes. JEL classification: G32, P17, P27, P31. Keywords: ownership, financial discipline, performance, transition. 1 The authors would like to thank Joel Turkewitz for his contributions to the design and implementation of the survey instrument, and Mihaela Popescu for her extraordinary assistance in the analysis of the data. The authors also thank Sarbajit Sinha for computer support in the initial stages of research. Helpful conversations with, and comments from, an anonymous referee, Marvin Chirelstein, Simeon Djankov, William Greene, Glenn Hubbard, Edmund Phelps, Mark Roe and participants in the faculty workshop at Yale Law School are also gratefully acknowledged. The authors are grateful to the CEU Foundation, the Open Society Institute and the World Bank for supporting research on this paper. CV Starr Center for Applied Economics at New York University has provided additional support for Roman Frydman’s research. None of these institutions are responsible for the opinions expressed in this paper. © The European Bank for Reconstruction and Development, 2000. Published by Blackwell Publishers, 108 Cowley Road, Oxford OX4 1JF, UK and 350 Main Street, Malden, MA 02148, USA. 578 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI 1. Introduction Financial discipline is often viewed as the most important prerequisite of efficient corporate performance, and indeed of the health of the economy as a whole. ‘Soft budget constraints’ have long been seen as a primary source of inefficiency of communist firms and as being responsible for the ultimate failure of the socialist regimes (Gomulka, 1985; Kornai, 1993). More recently, financial crises around the world have been attributed to lax financial practices on governmental, bank and firm levels (Mitchell, 1999, 2000). Not surprisingly, therefore, the various ‘rescue packages’ have stressed the need for greater financial discipline and made it one of the most important conditions of economic assistance. The existing literature on soft budget constraints suggests that firms may be subsidized for political reasons, such as the desire of officials to subsidize employment (Kornai, 1993, 1998) or enlarge their political constituency (Shleifer and Vishny, 1994), or because of the creditors’ desire to recover a part of the sunk cost invested in an earlier period (Dewatripont and Maskin, 1995; Maskin and Xu, 1999). In all these models, it is assumed that firm behaviour is a function of the constraints faced by the firm and that the hardening of financial discipline introduces the preconditions of efficient operation. Hard budget constraints are thus seen as being, in principle, capable of inducing all necessary restructuring behaviour on the level of the firm. Privatization, in this context, is understood as a precommitment device helping the state make credible its promise not to continue subsidies in the future. We do not question that financial discipline plays a very important role in corporate performance and that hard budget constraints restrict waste and force better cost management. But we argue in this paper, using empirical evidence from the post-communist transition economies, that there are clear limits, deriving from the governance and ownership structure of firms, to what financial discipline can accomplish. In particular, the concept of restructuring implicit in the standard models of the impact of financial discipline focuses on cost efficiency and is not sufficiently robust to include other preconditions of a firm’s ultimate success (and the vibrancy of the economy as a whole), namely the degree of inventiveness, creativity, and readiness to accept risk on the part of the persons responsible for corporate decisions. These characteristics, often embraced in the general concept of entrepreneurship, have only an indirect relation to financial discipline, and there are reasons to believe that financial discipline is not a sufficient condition for their promotion and development. Moreover, privatization, when properly designed, is not just a precommitment device assuring truly hard budget constraints in the future, but rather a form of firmlevel restructuring necessary for the unleashing of the spontaneous entrepreneurial energies inherent in certain forms of ownership. Without such ownership reforms, even in the presence of hard budget constraints, postcommunist firms are incapable of generating sufficient revenues to be able to service their financial obligations. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 579 Our evidence comes from a study of small and medium-sized firms in the early stages of the transition in the Czech Republic, Hungary and Poland. In all three countries, trade and bank creditors were imposing harder constraints on loss-making firms (Schaffer, 1998). As a result, not only private but also state firms were forced to economise on available financial resources (Pinto, Belka and Krajewski, 1993). Extensive employment changes among the largest state firms in Central Europe, documented by Balcerowicz, Gray and Hashi (1998), were also presumably in large part prompted by the tightening of budget constraints. The streamlining of the cost side of the state enterprises’ operations in response to external discipline was in fact quite effective: the restructuring of state enterprises in the transition environment of Central Europe tended to lower their costs by margins similar to those achieved in privatized firms (Frydman et al., 1999; Frydman, Hessel and Rapaczynski, 1999).2 The impact of hard budget constraints is very different on revenue restructuring. What ultimately matters in credit markets is a firm’s ability to pay, and even the strictest financial discipline will not allow firms to keep covering their obligations if they cannot generate sufficient revenues. We have argued elsewhere (Frydman et al., 1999) that the ability to generate revenue, especially during periods of rapid economic change, is inherently tied to firm ownership, and that firms privatized to certain types of owners (primarily outside investors) enjoy a significant performance advantage in this respect over firms controlled by corporate insiders (management or employees) or the state. In this paper, we provide further evidence of the connection between ownership and revenue generation by showing that the marked difference in revenue performance between privatized firms owned by outside investors and those controlled by insiders are not due to differences in financial discipline, since the constraints faced by both insider- and outsider-controlled firms are equally ‘hard’. The inability of firms owned by corporate insiders or the state to match the revenue performance of firms owned by outside investors means that they are less able to repay their debts and constitute a higher credit risk to their lenders. But in addition to the higher likelihood of default due to the lower ability to pay, state enterprises (but not insider-controlled firms) are also less likely to honour their obligations than other types of firms with a similar ability to pay, and we trace this aspect of state firms’ behaviour to the attitude of their state creditors. Our findings also shed light on the behaviour of different types of creditors in the early stages of the post-communist transition. In well-functioning credit markets, differences in creditworthiness of firms should be reflected in the 2 The effects of the hardening of budget constraints on enterprise and bank performance in various transition economies have been analysed by, among others, Coricelli and Thorne (1993), Coricelli and Djankov (1998), Bonin and Schaffer (1995), Berglof and Roland (1997, 1998), Bai and Wang (1998), Djankov (1999), and Perotti (1998). The literature on soft budget constraints in the context of post-communist restructuring has been reviewed by Djankov and Murrell (2000). In other contexts, budget constraints have been analysed as an essential factor in the functioning of financial systems (Dewatripont and Maskin, 1995) and federalism (Qian and Roland, 1998). 580 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI allocation of credit. One would therefore expect the higher credit riskiness of state firms to result in a stricter rationing of credit to those firms. Our data suggest this is indeed the case for trade credit. However, state banks and tax authorities appear significantly ‘softer’ in imposing financial discipline on state firms than on their privatized and private counterparts. To be sure, the fact that state creditors continue to impose laxer discipline on state firms effectively amounts to a new subsidy. But this subsidy need not result from a merely undesirable kind of politicization of credit decisions that a better implementation of a tough credit policy would perhaps be able to avoid. Unless one is willing to accept a likely demise of a large number of state firms that, despite their inability to generate sufficient cash flows, are nevertheless known to be potentially valuable, ‘rock hard’ budget constraints might simply be unrealistic, and the subsidy provided by state creditors might, to some extent, be rational, since the firms in question are probably capable of increasing their revenue generation through ownership transformations (Frydman et al., 1999). The conclusion we draw from this is not that the policy of hard budget constraints should be relaxed or abandoned, but that it cannot be made truly effective unless accompanied by speedy and effective privatization. 2. The sample The analysis presented here is based on a survey of mid-sized manufacturing firms in the Czech Republic, Hungary and Poland conducted in 1994–95. The firms were classified into new private, privatized, and state firms.3 The privatized firms were further divided into those owned by insiders (management or employees) or outside investors (foreigners, domestic individuals, domestic financial and non-financial companies), and state firms were divided into noncorporatized and corporatized entities. The subsample of firms used in this paper consists of 216 firms, 70 of which were in the Czech Republic, 90 in Hungary, and 56 in Poland. Thirty-one per cent of sample firms were held by the state (17 per cent as corporatized entities), 43 per cent were privatized (19 per cent to insiders and 81 per cent to outsiders), and 26 per cent were private firms. At the time of the survey, state and privatized firms were quite similar in terms of their size, with the average employment of about 580 full-time employees and the annual sales just above US$ 12.5 million; private firms were smaller, with average employment of about 200 employees and sales of about US$ 7 million. (Additional sample description can be found in the appendix.) 3 A firm was classified as private if it was never a state-owned enterprise. A previously state-owned firm was considered privatized if the combined holdings of private parties gave them a blocking power over major company decisions. In the absence of such power, the firm was classified, depending on its legal form, as a non-corporatized or corporatized state enterprise. Given very high ownership concentration (See the appendix), the ownership of a privatized firm was identified with that of the largest private owner. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 581 Table 1. Ownership, revenue performance, and short-term credit arrears Corporatized State firms enterprises Median annualized rate of revenue growth* (%) Percentage of firms with declining revenues** Overall (1990–93) 1990–91 1991–92 1992–93 Median level of arrears (% of 1993 revenues)*** Percentage of firms in arrears (1993) Overall to bank creditors to trade creditors to tax authorities –24.0 –16.7 Insiderowned privatized firms** –7.8 96.7% 87.5% 82.8% 90.0% 31.5% 89.5% 94.7% 71.4% 86.8% 25.6% 66.7 % 100.0% 100.0% 61.1 % 19.8% 52.0% 63.6% 57.7% 54.7% 4.8% 38.2% 43.5% 51.4% 45.5% 3.1% 80.0% 70.4% 71.4% 37.7% 65.5% 41.7% 36.7% 31.6% 20.0% 11.8% 12.5% 16.7% 35.5% 20.0% 23.9% 10.7% 32.6% 27.5% 4.3% 18.2% OutsiderPrivate owned (nonprivatized privatized) firms** firms –2.0 18.8 Notes: * For state firms, the rate of revenue growth annualized over 1990–93 period; for privatized and private firms, the rate annualized over the period a firm operated as a private entity; ** For privatized firms, post-privatization periods only; *** Firms in arrears only. Table 1 illustrates the revenue performance of sample firms over the 1990–93 period and summarizes overdue short-term credit obligations (short-term bank credit, taxes to central and local governments, and trade credit) among firms with different ownership types. Although a majority of firms in our sample suffered revenue losses in every year between 1990 and 1993, the main fault line in revenue decline is between state and private firms. As of the end of 1993, 96.7 per cent of state-owned (non-corporatized) enterprises, 89.5 per cent of corporatized enterprises, 54.8 per cent of privatized firms, and 38.2 per cent of private (not privatized) firms had lower revenues than in 1990. The decline of revenues in the early years of transition was bound to put many firms in financial difficulties. Overall, 45 per cent of the firms in our sample were in arrears to one or more of their short-term creditors.4 Not surprisingly, the 4 In evaluating credit performance, we considered a firm to be in bank credit or tax arrears if any of its payments were overdue. For trade credit, we defined overdue payments as those late by 60 or more days. This extension of the usual repayment period was necessary because delays in repaying trade credit within 582 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI percentage was markedly higher among firms with declining revenues: 57 per cent of such firms were in arrears to one or more of their creditors, as compared to 24 per cent of those with growing sales. State firms dwarfed all other types of firms in failing to meet their financial obligations to all types of creditors: Nearly 4 out of every 5 non-corporatized state enterprises were in arrears to one or more of their short-term creditors, as compared to 2 out of 3 of corporatized state firms, 1 out of 3 privatized and 1 out of 7 private firms. Moreover, among the firms in arrears, the median level of combined arrears in state firms, amounting to nearly 32 per cent of annual revenues, was higher than among the corporatized (25.6 per cent), privatized (4.9 per cent) and private (3.1 per cent) firms. (Insider-owned privatized firms had somewhat higher arrears than other private firms, but the statistical significance of this is undermined by the fact that very few of them were in arrears to begin with.) 3. Ownership and performance The effects of ownership on firm performance, which may be glimpsed from the statistics in Table 1, were analysed in detail in Frydman et al. (1999). Using fixedeffects panel regressions to estimate the impact of ownership type on firm performance, Frydman et al. (1999) found that outsider-owned privatized firms had significantly (nearly 10 percentage points) higher annual revenue growth than either state or insider-owned firms, but that no significant differences could be detected in terms of (labour or material) cost performance among any two groups of firms (see Table 2). The performance of state and insider-owned firms was statistically indistinguishable, both in terms of revenue and cost performance, as was the (not reported in Table 2) performance of corporatized and noncorporatized state enterprises.5 30 days were quite common during the early stages of transition, particularly in the Czech Republic and Poland. In both of these countries, one out of every two firms failed to repay its suppliers within 30 days, the ratio dropping to one in three past 60 days (in Hungary, the ratio stood at one in four irrespective of the time period.) Moreover, the widespread incidence of ‘short’ delays (under 60 days) overshadowed any systematic ownership differences, which surfaced only with the incidence of more persistent delays. 5 The performance comparisons in Frydman et al. (1999) included only state and privatized firms; since new private firms had not been burdened with the communist heritage and did not face the same challenges as the former state firms, they were excluded from the comparisons. The performance of corporatized state firms did not differ in any relevant way from that of other state firms, and the two types of state-owned firms were therefore not grouped separately. In the estimates of creditworthiness of different types of firms in this paper, however, new private firms are included and corporatized state firms are treated as a separate grouping. For recent analysis focusing on the financing of new private firms in the transition environment, see McMillan and Woodruff (1999) and Bratkowski, Grosfeld and Rostowski (2000). OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 583 Table 2. The effect of privatization for outsider- and insider-owned firms Annual rate of growth of Annual rate of growth of revenue, 1990–93 cost per unit of revenue, 1990–93 Privatization effects 1 Outsiders 1 Insiders Test statistics for the model Test statistics for the equality of group effects 9.70* (3.64) 0.68 (5.28) no. of obs=513 F=7.05* adj R2=0.13 F= 1.24 p=0.29 –4.36 (3.33) 1.12 (4.45) no. of obs=347 F=5.27* adj R2=0.14 F= 0.42 p=0.66 Notes: (1)A dummy variable set to 1 for the post-privatization performance of privatized firms where the given type of owner is the largest shareholder, 0 otherwise. State-owned enterprises are the reference group. * p 0.01, ** p 0.05, *** p 0.10. Standard errors in parenthesis, significant coefficients bold-faced. Group-effects estimates. Number of firms = 218. Group effects and coefficients on initial values of performance measure and country-year variables not reported here. (Full statistics are reported in Frydman et al., 1999.) These results were controlled for differences in the macroeconomic environment of the three countries; they persisted across all industrial sectors in which the sample firms operated, and could not be attributed to possible performance ‘dips’ in the years immediately preceding privatization. They were not driven by either a handful of well-performing firms or a few poorly performing firms. We have also shown in Frydman et al., (1999) that no selection bias was involved in the process of choosing state firms for privatization, and in particular that better performing firms were not selected for privatization to outside investors. 4. Creditworthiness and the ability to pay Is it possible that the differences in performance observed in Table 2 could be explained by the fact that firms with different types of owners faced different budget constraints? Did creditors give special treatment to certain types of firms and was that treatment responsible for the revenue behaviour of the firms? We begin this inquiry by looking for the determinants of the likelihood that a firm with certain characteristics (such as performance, ownership type, etc.) would FRYDMAN, GRAY, HESSEL and RAPACZYNSKI 584 have defaulted on any of its outstanding short-term credit obligations to any of its creditors during the 1990–93 period. The higher the probability that a firm would have been late in meeting its obligations to one of its creditors, the lower the firm’s overall creditworthiness and the higher the credit risk it represents to that creditor. The degree to which a firm’s creditworthiness determines its access to finance is, in turn, an indication of the hardness of its budget constraints. Table 3. Probability of default on obligations to different types of creditors, 1990–93 Creditor to whom the debt is due Variable (1) Bank creditors (2) Tax authorities (3) State (banks or tax authorities) (4) Trade creditors Constant –0.60* (0.08) –0.011* (0.003) 0.000 (0.000) 0.43* (0.13) 0.04 (0.10) –0.26 (0.17) –0.01 (0.11) 0.30* (0.10) 0.35* (0.11) n=209 2 χ = 70.08* –0.67* (0.07) –0.008* (0.002) 0.000 (0.000) 0.38* (0.10) 0.06 (0.08) 0.001 (0.11) 0.05 (0.08) 0.35* (0.08) 0.38* (0.09) n=216 2 χ = 77.83* –0.58* (0.09) –0.013* (0.003) 0.000 (0.000) 0.33* (0.14) 0.04 (0.11) –0.25 (0.16) 0.01 (0.11) 0.35* (0.10) 0.30* (0.11) n=201 2 χ = 55.69* –0.21* (0.06) –0.006* (0.002) –0.000 (0.000) 0.08 (0.10) 0.08 (0.09) –0.09 (0.13) –0.30* (0.11) –0.12 (0.08) –0.01 (0.09) n=203 2 χ = 38.96* Rate of growth of revenues for firms with decreasing revenues1 Rate of growth of revenues for firms with increasing revenues1 State firms2 Corporatized state firm3 Insider-owned privatized firm4 Private (non-privatized) firm5 Hungary6 Poland7 No. of firms (n) Notes: *p 0.05 **p 0.10; significant coefficients bold-faced. Maximum likelihood estimates of binomial probit models. (1) Revenues are measured in constant local prices; rates of revenue growth are annualized over the 1990– 93 period for state firms and over the post-privatization period for privatized firms; (2) A dummy variable equal to 1 if the firm is state, zero otherwise; (3) A dummy variable equal to 1 if the firm is corporatized, zero otherwise; (4) A dummy variable equal to 1 if the firm is privatized, insider-owned, zero otherwise; (5) A dummy variable equal to 1 if the firm is a newly-founded by private parties, zero otherwise; (6) A dummy variable equal to 1 if the firm is in Hungary, zero otherwise; (7) A dummy variable equal to 1 if the firm is in Poland, zero otherwise. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 585 Table 3 presents the results of a probit model estimating the likelihood of a firm’s default on its short-term obligations as a function of the firm’s revenue performance, ownership type, and the country in which the firm is located.6 We use the annualized rate of revenue growth to measure the firm’s revenue performance.7 Since falling revenues are apt to affect the likelihood of default differently from rising ones, we split the revenue growth into two corresponding variables. We estimate separately likelihoods of defaults on obligations to the following types of short-term creditors: (1) bank creditors; (2) tax authorities; (3) any state creditors (banks or tax authorities); and (4) trade creditors. (Throughout, privatized firms owned by outside investors in the Czech Republic serve as the reference group). Note first the consistent relationship between creditworthiness and the rate of declining revenue growth in Table 3. In our interpretation, the reason why the coefficients of this variable are highly significant throughout all four regressions is that the declining rate of revenue growth stands (inversely) for a firm’s ability to meet its financial obligations. Clearly, a number of other factors, such as cash flows, the excess of sales over costs, and the degree of leverage, might also affect a firm’s ability to pay, so that singling out declining revenue growth as the proxy may be controversial. To some extent this choice is dictated by the fact that information concerning the other factors, such as cash flows, cost of capital, and profitability, was notoriously unreliable in the early stages of the post-communist transition. We have only limited data on those factors, and we doubt that creditors were able to rely on them to any significant extent. But we have a more important reason for treating a firm’s ability to service its debt obligations in the environment of the early post-communist transition as primarily a function of its ability to generate revenues. We have seen in Table 2 that different types of firms in the early 1990s differed most not in their ability to control costs but in their capacity to restructure their products and find new markets, so as to achieve a level of sales capable of assuring their viability. Once a firm’s revenues were growing, costs could be kept in check, ensuring in most cases that the firm would be able to meet its payment obligations % whether or not it actually met them depended then mostly on other factors, and the rate of revenue growth was not by itself predictive of the likelihood of running arrears (which explains its insignificance when the revenues were rising). When revenues were collapsing, however, even the most stringent cost cutting measures were unlikely to provide sufficient savings to enable the firm to service its debts. Indeed, while we see the close relation between the inability to generate new 6 We also tested for the impact of any sectoral differences among firms by including two-digit industry dummies as well as combinations of such dummies (capturing the difference between consumer and industrial goods sectors) among the variables in our model. We found that all such sectoral effects lacked significance and their inclusion left the estimates of other variables virtually intact. Including size of firms in the regressions also did not affect the results. 7 If R denotes a firm’s performance level in year t, the annualized rate of revenue growth, r, is an imputed t rate which satisfies PT/Pt = (1 + r )(T – t ) over the appropriate time interval (T – t), T > t. 586 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI revenues and lower creditworthiness, we could discern no statistically significant relation between a firm’s cost performance and the likelihood of its defaulting on payment obligations.8 It is important to note that if the rate of falling revenues is indeed a proxy for a firm’s ability to meet its financial obligations, then this very fact, quite independently of the coefficients on the ownership dummy, means that state and insider-controlled firms were systematically less creditworthy than their outsideinvestor-controlled counterparts.9 This is because in the early years of the transition, state and insider-controlled firms lost revenues much faster than firms that had either never been state-owned or had been privatized to outsiders: indeed, over 9 out of 10 state and corporatized firms, and 2 out of 3 insidercontrolled firms in our sample had declining revenues over the sample period. 5. Willingness to pay and soft budget constraints A firm’s decision to repay any individual obligation, however, depends on more than its ability to come up with the cash; it involves a decision on whether to allocate any available cash to this or another purpose. This decision reflects a component of the firm’s creditworthiness that goes beyond the ability to repay: we assume that decisions to repay creditors are economic in nature, and that they reflect the perceived balance between the costs of delaying payments to some or all creditors and the costs of other foregone opportunities that a timely payment entails. We will refer to this decision as reflecting the firm’s willingness (or propensity) to pay, and we gauge it by the differential likelihood of its defaulting on its debt payments, as compared to other (types of) firms with a similar ability to pay.10 In other words, we interpret the significance of the coefficient of the 8 Among the tests we performed, we substituted analogous cost variables for the revenue variables in the equation reported in Table 3. We found all coefficients on these variables to be insignificant, except for one anomalous result in the case of trade creditors, where lower costs were weakly predictive of the higher probability of default. When both cost and revenue variables were included in the same equation, data limitations (smaller number of firms and greater degrees of freedom) did not allow us to obtain statistically significant results in the case of certain types of creditors. But numerically the results were always consistent with the hypothesis that creditworthiness is dependent on revenue declines and independent of cost performance. 9 Although new private firms were not included in the regressions reported in Table 2, their average rate of revenue growth was still higher than that of all types of privatized firms. 10 This way of gauging the differences in the willingness or propensity to repay depends, of course, on the closeness of ‘fit’ between revenue growth and the ability to repay. To the extent that revenue growth may not be a perfect proxy, and thus may not capture certain aspects of a firm’s ability to repay, those aspects may be ‘picked up’ by other variables in our equations, especially those pertaining to ownership type. The most important potential candidate for such leakage would be the state firms’ inferior cost performance. But, as we have explained already, there is no statistically significant relation between cost performance and creditworthiness in our sample and state firms do not, as a matter fact, perform worse on costs than privatized companies. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 587 ownership dummy in the equation reported in Table 3 as indicating that the firms of the ownership type involved are less willing or prone to repay their debts than the reference group of privatized firms controlled by outside investors. A firm’s ability to repay may be a function of the macroeconomic environment (which has an impact on overall demand) and firm-specific characteristics (in our model, the ability to generate sufficient revenues to meet payment obligations). The same firm’s willingness or propensity to repay is, in turn, a function of three different types of factors: (1) system-specific characteristics of the legal and economic environment, such as the extent of credit market development, the nature and effectiveness of bankruptcy laws, etc.; (2) firm-specific characteristics, corresponding to how the firm values its relation with a given creditor relative to other claimants (including its labour force and any stakeholder constituencies that might support the priority of some claimants over others) and other available investment opportunities; and (3) creditor-specific characteristics, related to how stringently the creditor will react to non-payment or even a possibility of default. The system-specific determinants are exogenous and affect many firms equally. The second factor may reflect firm-level politicization of business decisions, such as the difficulty that some state firms, especially those in which worker councils have significant powers, may have with laying off employees or keeping salaries in check, or the pressures from state officials interested in furthering various political objectives at the expense of the firm’s standing with its creditors. The third factor is of special importance here because it reflects a potential softness of the firm’s budget constraints. Moreover, the third factor clearly affects the second, as the softness of the budget constraint is, in turn, anticipated by the firm and becomes reflected in the firm’s priorities with respect to the allocation of its financial resources. Although the lower willingness of some firms to repay their debts can thus have a number of explanations, it is the sole channel, in our model, through which the relative hardness of the budget constraint faced by different types of firms can be gauged. In other words, if some or all creditors are less strict in demanding repayment from firms with a certain ownership type, the firms of this type will be more likely than others to default on their obligations, over and above what could be expected from looking only at their ability to pay. This increased likelihood % which we identified with the lower willingness to repay % will, in turn, show in the significance of the coefficient of the ownership dummy for the type of ownership in question. Conversely, if the coefficient of the ownership dummy is not significant, it seems safe to assume that the firms of that ownership type do not receive preferential treatment from their creditors, as compared to the reference group of firms (outsider-owned privatized firms in Table 3). A number of results in Table 3 deserve special notice in the light of this interpretation. The first is the coefficient of the ownership dummy for insiderowned privatized firms, which is not significant in all four equations. This indicates that insider-controlled firms do not lag behind the reference group in their willingness to repay their debts; if anything, the size of coefficient of the 588 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI ownership dummy for insider-owned privatized firms suggests that insiderowned firms may be more likely than their outsider-owned counterparts to meet their obligations.11 These firms thus do not seem to face any softer budget constraints than outsider-controlled firms. (In fact, with one exception % the treatment of new private firms by trade creditors % to be discussed later, all types of private firms, whether new or privatized, as well as corporatized state firms, seem to be in the same boat as far as their treatment by all types of creditors is concerned.) Recall, however, that in terms of their performance, insider-owned firms are not significantly different from state enterprises, and that they lag very significantly behind outsider-owned privatized firms in terms of their revenue generating ability. The combined presence of hard budget constraints and the inferior revenue performance of insider-owned firms strongly suggests that certain aspects of firm performance – those involving risk taking and entrepreneurship % are not induced by financial discipline, and that the presence of hard budget constraints cannot substitute for effective ownership reforms. The same conclusion follows from the fact that the coefficients of the ownership dummy are not significant for state-owned corporatized companies in all four equations in Table 3, since these companies also did not differ in any significant way from other state companies in terms of their performance (and revenue performance in particular). Again, the fact that the budget constraints faced by corporatized state firms were as hard as those faced by all types of privatized firms does not seem to have been sufficient to bring the crucial revenue performance of corporatized firms any closer to that of privatized firms owned by outside investors. Another result in Table 3, to be viewed in conjunction with the presence of hard budget constraints facing all types of private firms, is the significantly positive coefficient of the ownership dummy for non-corporatized state enterprises across three of the four equations. According to our model, this significance indicates that, in addition to being less able than outsider-controlled privatized or new private firms to meet their financial obligations, noncorporatized state enterprises were also less willing to meet them. In other words, even after their ability to pay (as measured by the rate of revenue growth) was controlled for, these state firms were still more likely to default on their obligations to all of their lenders except trade creditors. While softer budget constraints could be one of the explanations of the lesser willingness of non-corporatized state firms to meet their financial obligations to most creditors, we have seen that other factors, such as a pressure to avoid layoffs or other political objectives, may also be responsible. To what extent the greater probability of default by state firms may be due to the softness of their creditors will be the subject of further analysis in Section 7 below. 11 The contrast between the insider- and outsider-owned firms becomes significant if all the creditors are combined in one equation. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 589 6. Obligations to state and private creditors In a well-functioning market, and in the absence of any distinctive seniority structure of outstanding short-term obligations, the likelihood of a firm’s being late on payments to particular types of creditors should match the ‘overall’ creditworthiness of the firm. Although we have no information on the terms of credit granted by different types of creditors, we see no prior reason for any shortterm debts to be subordinated to other short-term debts in a systematic fashion. We therefore assume that, in principle, all short-term credit obligations are to be met pari passu and we interpret systematic differences in the likelihoods of arrears to different types of creditors as evidence that some firms give and/or receive differential treatment to or from some types of creditors. Which creditors the embattled firms tended to pay first and which they tended to skip when money was short reveals quite a lot about the effectiveness of financial market reforms. Noteworthy in this context is the fact that non-corporatized state enterprises that appear less willing to repay their short-term debts to banks and tax authorities are nevertheless no less ‘resolved’ than their privatized or corporatized counterparts to pay their trade creditors. This may be due to several factors. Trade creditors may have found it easier to enforce their payment schedules than banks or tax authorities, since firms may have been very dependent on their suppliers, who could easily cut off further deliveries, and the penalty for default may have been very high. The generally very high cost of bank credit in the inflationary period of the early transition also meant that firms relied less on bank debt and were thus less concerned about preserving their credit rating with the banks. Privatized firms, by contrast, being in a generally better financial position, may not have faced as tough a choice between defaulting to one creditor or another, and were perhaps more likely to view their standing with the banks as more important. Moreover, as the banks lending to the firms in our sample were virtually all state-owned at the time (and for this reason they and the tax authorities could, for most purposes, be considered together under the rubric of ‘state creditors’), state enterprises may have counted (with or without reason) on some reprieve from the banks and other state institutions that their corporatized and privatized counterparts did not expect. Whatever the precise reason, the brunt of the state enterprises’ lower creditworthiness was borne by their state creditors, as state enterprises shifted their limited resources toward payment of their trade creditors and deflected the increased risk away from their trade partners. Three more results in Table 3 deserve note. First, the ownership coefficient for new private firms in the trade credit equation is negative and significant, implying that those firms showed a greater propensity to repay their suppliers than other types of firms. The most likely explanation is that both state and privatized (i.e., previously state-owned) firms had relatively established trade relations with their suppliers, while the non-privatized private firms were the ‘new boys on the block’, which may have made the suppliers less willing to extend credit. 590 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI Second, the absence of a significant difference between the corporatized firms’ propensity to repay and that of outsider-owned or new private firms in all four equations is potentially quite interesting. On the one hand, corporatization seems to have had no effect on the performance of state enterprises (as compared to noncorporatized state firms), and thus to have disappointed the many observers who had expected that a change of legal forms could at least in part substitute for ownership reforms. But on the other hand, corporatization seems to have been surprisingly successful, at least in the early stages of the transition, in hardening the budget constraints of state firms. Perhaps corporatization changed expectations on the part of the creditors and firms, or perhaps the prospect of privatization accounts for the difference we observe. Finally, one country difference emerges from Table 3: on average, firms in the Czech Republic tended to default less often to state creditors than those in either Hungary or Poland. The Czech government may have been more effective in imposing financial discipline on state and non-state firms alike (this was certainly true about tax payments), but also, according to some reports, Czech banks may have been more willing to roll over and capitalize overdue payments. 7. Creditor behaviour We have seen that the lower willingness of non-corporatized state enterprises to repay their state creditors could be the effect of a number of factors, the prime among which are the politicization of repayment decisions on the firm level and the presence of soft budget constraints that affect the firm’s expectations and make it less creditworthy. In this section, we attempt to determine more precisely the role played by soft budget constraints. We use the following model to gauge the creditors’ contribution to the lower creditworthiness of state enterprises. We assume that if the state firms lower willingness to repay, as compared to other types of firms, is originally due to factors other than softer budget constraints (such as a desire to minimize lay-offs), creditors of these firms will observe their lower creditworthiness, and adjust their own behaviour accordingly. If creditors do not give preferential treatment to state firms, the response of the credit markets to the lower willingness of state enterprises to repay their short-term obligations will thus involve two stages. In the first stage, creditors have no information about the relative creditworthiness of various types of firms, except for their ability to pay, as measured by revenue history. State enterprises are therefore treated in the same way as all other types of firms, although their inferior revenue performance results in lesser access to short-term finance. The experience of the first stage, however, is that state enterprises default more often than would be predicted on the basis of their revenue history alone % the creditors are thus able to observe that state enterprises are less creditworthy than other types of firms with the same ability to pay. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 591 Consequently, in the second stage, the creditors restrict further state enterprises’ access to finance in order to compensate for their lesser willingness to repay. At the end of the second stage, if the market is functioning properly, the level of overdue debt of state enterprises will be brought to where it would be expected to be, given all the available measures of the state firms’ creditworthiness.12 In our data, the estimates of the creditworthiness of a particular type of firm are based on the incidence of default over the entire sample period (1990–93) and thus reflect the firms’ average creditworthiness during the entire period. If, for example, a certain type of firm revealed a higher propensity to default in the first period, the estimates of creditworthiness for this type of firm will reflect this fact, even if the probability of default declined in the later period. The data on the levels of arrears, on the other hand, reflect the state of affairs at the time when the survey was conducted (mid-1994). We thus assume that if the creditors adjust their lending criteria over time and, in their lending decisions in the later period, properly take into account the various factors affecting risk differentials among different types of firms, the same factors should have no impact on the relative levels of arrears among the same types of firms. We took the evidence of the contrary phenomenon % i.e., the fact that the same factors account for both the incidence and the levels of overdue payments by some types of firm to certain types of creditors % as an indication that the creditors involved were either unaware of the role of these factors in determining creditworthiness or, more likely, ignored them and pursued ‘soft’ credit policies with respect to firms with the characteristics in question. If state ownership, for example, turns out to be an explanatory factor with respect to both a firm’s creditworthiness and the size of the arrears the firm will be permitted to run up to state banks at the end of the sample period, we consider this to be evidence that the state banks were ‘soft’ in extending credit to state firms. To examine the determinants of the size of the arrears a firm was allowed to run up by a given type of creditor, we estimated the average size of a firm’s arrears as a function of its revenue performance (separating revenue growth into two variables, one for firms with growing, the other with falling revenues), 12 We assume that closing credit lines (rather than raising interest rates) was the primary method by which creditors were likely to ration credit in the early stages of post-communist transition. This is not uncommon even in well-functioning markets (Stiglitz and Weiss, 1981), and it is unlikely that interest rate variations played a significant role in credit allocation in the early years of post-communist transition. Inflation premia on loans were so high as to dwarf most firm-specific interest-rate adjustments. Also, given the very short credit history of firms under the conditions of a market economy, most creditors (especially banks) had limited ability to make fine differentiations in the degree of risk represented by particular borrowers. (Although we do not have data on short-term interest rates in our survey, the data on long-term rates faced by the firms in our sample confirms this view, showing that interest rates did not vary in relation to creditworthiness. In fact, there was no statistically significant difference between the interest rates faced by state and privatized firms in our sample. New private firms faced an estimated 3 per cent surcharge, probably because of the absence of collateral.) We also assume that credit lines to defaulting borrowers could be shut off rather easily because short-term bank and trade credit were revolving in nature. 592 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI ownership type, and the country in which the firm was located. Because not all firms had arrears, the number of firms in certain categories became too low to obtain consistently significant results, and consequently, we combined together in one group the insider- and outsider-controlled firms, which were not statistically significantly different from each other. Also, a direct estimation of the determinants of the levels of overdue payments among firms in arrears would produce biased results, because a firm with arrears cannot be treated as randomly selected from the population of all firms in the sample. In estimating, for example, the role that ownership played in determining the level of arrears run up by a firm, the fact that state firms were more likely to run up arrears than privatized firms in the first place might skew the impact of ownership on the level of arrears. To correct this problem, we used Heckman’s two step estimation procedure (Heckman, 1979; Greene, 1981). We again estimated separately the arrears run up on short-term obligations to (1) bank creditors; (2) tax authorities; (3) combined state creditors; and (4) trade creditors. The resulting estimates are reported in Table 4. (Privatized firms in the Czech Republic serve as the reference group.) The results generally confirm the hypothesis that the lesser willingness of state non-corporatized enterprises is at least in part due to the greater softness of the budget constraints imposed on state enterprises by their state creditors. Recall that two factors % revenue performance for firms with declining revenues and firm ownership % explained the likelihood of default, and hence the incidence of arrears among non-corporatized state firms. Of these two factors, the rate of revenue growth ceases to be of any significance in explaining the differences in the levels of arrears accumulated by different firms to all types of their creditors. According to our model, this means that all creditors have fully incorporated the revenue performance component of a firm’s creditworthiness in determining the credit line open to the firm. However, the ownership contrasts continue to remain significant in explaining the levels of overdue payments that non-corporatized state enterprises were allowed to run up with their state, but not trade, creditors. Trade creditors thus seem to have realized that state enterprises, independently of their ability to pay, represented a higher credit risk than other firms, and to have restricted their lending, so as to avoid allowing their state debtors to run disproportionately larger arrears. State creditors, on the other hand, do not seem to have acted in this way. The significance of the coefficient of the ownership dummy in the bank creditors equation in Table 4 means that the banks did not tighten their lending to state firms upon having observed their lesser willingness to repay (which may have been due to the state firms’ expectation of soft budget constraints in the first place), and allowed them to run disproportionately higher levels of arrears. Although the same coefficient is not significant in the tax authorities equation, probably because tax authorities are inconsistent in their enforcement (which increases the standard error), the coefficient itself is very large, indicating that at least some state firms are allowed to run up large tax arrears. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 593 Table 4. Size of arrears allowed by different creditors Variable (1) Bank creditors Constant –91.30 (79.85) –1.10 (0.82) 0.02 (0.06) 54.90** (32.90) 25.42 (16.04) 14.67 (15.03) 17.77 (25.18) 14.05 (28.59) Rate of growth of revenues for firms 1 with decreasing revenues Rate of growth of revenues for firms 1 with increasing revenues 2 State firm Corporatized firm 3 4 Private (non-privatized) firm Hungary Poland 5 6 No. of firms n=72 F=1.86** (2) (3) State (banks Tax or tax authorities authorities) –180.90 –134.15 (181.76) (108.22) –1.68 –1.91 (1.51) (1.27) 0.03 0.06 (0.09) (0.08) 68.28 73.22** (64.53) (40.35) 25.58 33.45 (23.25) (21.69) 4.97 10.69 (25.71) (21.14) 77.55 44.55 (72.32) (37.28) 80.01 34.05 (75.33) (35.53) n=53 F=1.09 n=75 F=2.17* (4) Trade creditors –33.23 (77.11) –0.39 (0.84) 0.02 (0.11) 7.42 (15.62) 14.57 (17.67) –29.15 (46.99) –12.22 (21.64) 8.23 (8.80) n=53 F=1.08 Notes: *p 0.05; **p 0.10; significant coefficients bold-faced. Two-step Heckman’s estimates of sample selection models. Arrears run by a firm are measured as a percentage of the firm’s annual revenues. (1) Revenues measured in constant local prices. Rates of revenue growth are annualized over the 1990–93 period for state firms and over the post-privatization period for privatized firms; (2) A dummy variable equal to 1 if the firm is state firm, 0 otherwise; (3) A dummy variable equal to 1 if the firm is corporatized firm, 0 otherwise; (4) A dummy variable equal to 1 if the firm is a newly-founded by private parties firm, 0 otherwise; (5) A dummy variable equal to 1 if the firm is in Hungary, 0 otherwise; (6) A dummy variable equal to 1 if the firm is in Poland, 0 otherwise. The literature on soft budget constraints assigns two types of reasons why creditors may continue to finance firms that do not meet their financial obligations. According to some, the reasons are exogenous, having to do with state paternalism (Kornai, 1998) or the desire of officials to maximize their own careers (Shleifer and Vishny, 1994). Others (Dewatripont and Maskin, 1995; Maskin and Xu, 1999) believe that lending to firms that do not bring sufficient returns on investment may, under certain circumstances, be economically rational from the point of view of a lender who has already invested in a bad project, and for whom providing second-stage financing may allow the recovery of a part of its sunk cost. 594 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI We can only conjecture about the exact reasons for the ‘softness’ of state creditors vis-à-vis state enterprises in our sample. But there is a plausible account of the state creditors’ behaviour that shares certain features with the endogenous explanations. Although the policy of softening the budget constraints for state enterprises may have had many adverse consequences, and went against the convictions of most committed reformers in the post-communist countries, the subsidies in question may not have been economically irrational. For if privatization was likely to lead to a quick improvement in the state firms’ performance (as research to date indicates), state firms may legitimately have been seen as having a significant turnaround potential, and letting them die by financial strangulation may not have appeared to be the right policy to the state lenders with long relations with these firms. State creditors in all three countries dealt with both state and privatized firms, and they saw the quite immediate effects of privatization (at least when the owners were outside investors) on the revenue generation capability of the firm. They also saw that state enterprises were genuinely cutting costs (Frydman et al., 1999) and attempting to restructure their operations to adapt to the new situation; in fact, the type and frequency of the product restructuring measures undertaken by state firms were quite similar to those of their privatized counterparts (Frydman, Hessel and Rapaczynski, 1999). And yet, none of these attempts were sufficient to bring out the genuinely entrepreneurial restructuring, such as resulted in the improved revenue generation (and hence greater ability to meet financial obligations) of the privatized firms controlled by outside investors. Given that privatization was a stated policy of all three countries in this study, it is not surprising that the state lenders may have believed that they were maximizing the economic interests of the state as the owner when they extended additional financing to the beleaguered state enterprises. Indeed, knowing that the state enterprises might be privatized in the not-too-distant future, the creditors may very well have believed, as predicted by Dewatripont and Maskin (1995), that they might be able to recover a part of their sunk cost of prior lending. Once such a policy is followed, it has, of course, the further effect of being anticipated by the state enterprises themselves and contributes further to the lowering of their creditworthiness. This is hardly surprising: although some aspects of creditworthiness may be originally firm-specific and others creditorspecific, it invariably ‘takes two to tango’. On the debtor side, the deficiencies of state ownership make state-owned firms a higher credit risk, both because of their lesser ability to pay and their lower propensity to do so. Moreover, both of these characteristics are intrinsic to state ownership: the former because of the constraints state ownership imposes on a firm’s ability to generate revenues, the latter because of the politicization of the firm’s repayment decisions. On the creditor side, state ownership produces an equally pronounced and ownershipspecific effect, as state creditors find reasons to bear the burden of the higher credit risks represented by state firms, effectively allowing them to extract a significant ‘risk rent’ from the state. The two sides reinforce each other and make OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 595 the hard budget constraint policy, so dear to most reformers, to some extent unrealistic. 8. Conclusions The choice of policies for emerging economies in times of economic crisis depends on the extent to which financial discipline can improve firm performance. This paper shows that there are clear limits to what financial discipline can accomplish in the absence of firm-level restructuring. Previous research has established that the introduction of financial discipline to state firms in the post-communist transition environment was quite effective in forcing them to restructure the costs of their operations, even if a degree of politicization may still have affected their business decisions. Hard budget constraints were largely ineffective, however, in improving the revenue performance of state-owned firms: as their restructuring efforts did not produce the desired results, the markets for their goods continued to shrink But the ability to generate revenues, more than any other factor, determines a firm’s ability to repay its obligations in the economic upheavals following the fall of communism. As a result, the policy of hard budget constraints can only be partially successful unless accompanied by privatization. As state firms lose their markets, they encounter increasing difficulties with servicing their debt obligations, and they tend to put pressure on their creditors to allow them some slack in repayment discipline. While the mostly private trade creditors seem to resist these pressures and penalize state firms for their lesser willingness or propensity to repay, state creditors are more receptive. Because many state firms could be turned around by privatization, state creditors might find it rational not to let them perish by cutting off the supply of credit. But extending credit on softer terms to state firms than to their privatized and new private counterparts breeds a cycle of deteriorating financial discipline. Our conclusion, therefore, is not that the hard budget constraints of the postcommunist reform policies should be relaxed. It is rather that these policies are not realistic unless accompanied by speedy privatization: firm-level restructuring is a necessary complement to financial discipline if the transition from communist to a well-functioning market economy is to be successful. References Bai, Chong-en and Yijang Wang (1998), ‘Bureaucratic Control and the Soft Budget Constraint’, Journal of Comparative Economics, 26(1), pp. 41–61. Balcerowicz, Leszek, Cheryl W. Gray and I. Hashi (1998) Exit Processes in Transition Economies: Downsizing, Workouts, and Liquidation, Budapest: Central European University Press. 596 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI Berglof, Erik and Gerard Roland (1997), ‘Soft Budget Constraints and Banking in Transition Economies’, European Economic Review, 41, pp. 807–17. Berglof, Erik and Gerard Roland (1998), ‘Soft Budget Constraints and Banking in Transition Economies’, Journal of Comparative Economics, 26(1), pp. 18–40. Bonin, John and Mark Schaffer (1995), ‘Banks, Firms, Bad Debts, and Bankruptcy’, CEPR Discussion Paper 234. Bratkowski, Andrzej, Grosfeld, Irena and Jacek Rostowski (2000), ‘Investment and Finance in de Novo Private Firms’, Economics of Transition, 8(1), pp. 101–16. Coricelli, Fabrizio and Simeon Djankov (1998), ‘Soft Budget Constraints and Enterprise Restructuring in Romania’, mimeo, The World Bank. Coricelli, Fabrizio and Alfredo Thorne (1993), ‘Dealing with Enterprises’ Bad Loans’, Economics of Transition, 1(1), pp. 112–15. Dewatripont, Mathias and Eric Maskin (1995), ‘Credit and Efficiency in Centralized and Decentralized Economies’, Review of Economic Studies, 62(4), pp. 541–55. Djankov, Simeon (1999), ‘The Enterprise Isolation Program in Romania’, mimeo. the World Bank. Djankov, Simeon and Peter Murrell (2000), ‘Enterprise Restructuring in Transition: A Quantitative Survey’, mimeo. the World Bank. Frydman, R., C. W. Gray, M. Hessel and A. Rapaczynski (1999), ‘When Does Privatization Work? The Impact of Private Ownership on Corporate Performance in the Transition Economies’, Quarterly Journal of Economics, 114(4), pp. 1153–91. Frydman, Roman, Marek Hessel and Andrzej Rapaczynski (1999), ‘Why Ownership Matters? Entrepreneurship and the Restructuring of Enterprises in Central Europe’, Working Paper, C.V. Starr Center for Applied Economics, New York University. Gomulka, Stanislaw (1985), ‘Kornai’s Soft Budget Constraint and the Shortage Phenomenon: A Criticism and a Restatement’, Economics of Planning, 19(1), pp. 1–11. Greene, William (1981), ‘Sample Selection Bias as a Specification Error: Comment’, Econometrica, 49, pp. 795–98. Heckman, J. (1979), ‘Sample Selection Bias as a Specification Error’, Econometrica, 47, pp. 153–61. Kornai, Janos (1993), ‘The Evolution of Financial Discipline under the Post-socialist System’, Kyklos, 46(3), pp. 315–36. Kornai, Janos (1998), ‘Soft Budget Constraints’, in Newman, Peter (ed.), The New Palgrave Dictionary of Economics and the Law, London: Macmillan. Maskin, Eric and Chenggang Xu (1999), ‘Soft Budget Constraint Theories: From Centralization to the Market’, paper presented at the Fifth Nobel Symposium in Economics, Stockholm. McMillan, John and Christopher Woodruff (1999), ‘Interfirm Relationships and Informal Credit in Vietnam’, Quarterly Journal of Economics, 114(4), pp. 1285–320. Mitchell, Janet (1999), ‘Banks’ Bad Debts: Policies, Creditor Passivity, and Soft Budget Constraints’, in Meyendorf, A. and A. Thakor (eds.), Financial Sector Development in Economies in Transition, Cambridge, MA: MIT Press. Mitchell, Janet (2000), ‘Theories of Soft Budget Constraints and the Analysis of Banking Crises’, Economics of Transition, 8(1), pp. 59–100. Perotti, Enrico (1998), ‘Inertial Credit and Opportunistic Arrears in Transition’, European Economic Review, 42(9), pp. 1703–26. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 597 Pinto, Brian, Marek Belka and Stefan Krajewski (1993), ‘Transforming State Enterprises in Poland: Evidence on Adjustment By Manufacturing Firms’, Brookings Papers on Economic Activity, 1, pp. 213–69. Qian, Yingyi and Gerard Roland (1998), ‘Federalism and the Soft Budget Constraint’, American Economic Review, 88(5), pp. 1143–62. Schaffer, Mark E. (1998), ‘Do Firms in Transition Economies Have Soft Budget Constraints? A Reconsideration of Concepts and Evidence’, Journal of Comparative Economics, 26(1), pp. 80–103. Shleifer, Andrei and Robert Vishny (1994), ‘Politicians and Firms’, Quarterly Journal of Economics, 109(4), pp. 995–1025. Stiglitz, George and A. Weiss (1981), ‘Credit Rationing in Markets with Imperfect Information’, American Economic Review, 71, pp. 393–410. Appendix Sample description The study is based on a survey of 506 mid-size firms conducted in the fall of 1994 in the Czech Republic, Hungary and Poland. The sample was drawn from firms employing between 100 and 1,500 persons. The procedure used was to draw randomly from the list of firms provided by the Central Statistical Office in each country, but when a maximum of firms with a certain type of owners was reached, further firms with the same ownership type were not included in the survey. (No such adjustments were necessary in Hungary.) Separate interviews (using different close-ended questionnaires) were conducted in each firm with the chief executive officer, the chief financial officer, and the chief production officer, each of whom was asked about matters in his or her particular area of expertise. An additional questionnaire, requesting time series data on revenues, labour and material costs, employment, and taxes, was filled out at each firm by the accounting department. The present study is based on a subsample of the original 506 firms. First, we excluded from the subsample 86 firms whose ownership structure was unclear. Second, to allow for the analysis of post-privatization performance, we further limited the subsample of privatized firms13 to those privatized in 1990, 1991 and 1992 (thus excluding 87 privatized in 1993 or 1994, for which no postprivatization data were available). Beyond these exclusions, some firms did not 13 By a privatized firm we mean an enterprise (partially or totally) privatized through a privatization of a predecessor state-owned company (or its part) in which the combined holdings of private parties give them a blocking power. We consider private parties to have blocking power if they control the percentage of votes formally sufficient to block major decisions at the general shareholder meeting. Note that this means that in some (15 per cent) of the firms classified as privatized in this paper, the state remains a majority shareholder. But the high concentration of holdings in our sample makes the difference between blocking and majority power of little significance. 598 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI provide complete data on all aspects of their performance.14 The number of firms actually used in the analysis thus varies with the particular aspect of performance under examination, but the total number of firms in the largest subsample used here was 216 firms (see Table A2). Both state-owned and privatized firms in the sample were generally larger than the new private firms. The initial (1990 for state firms, year of privatization for privatized firms) mean annual sales of state-owned and privatized firms were US$ 16.4 million and US$ 13.9 million, respectively, with the corresponding mean initial employment levels of 743 and 661 full-time employees, while the respective initial (1990 or year of establishment, if later) values for the new private firms were US$ 5.05 and 164 employees (see Table A1). These firms operated both in consumer goods (food and beverages, clothing, and furniture) and in industrial goods sectors (non-ferrous minerals, chemicals, textiles and leather), with roughly 56 per cent of privatized firms, 64 per cent of state firms, 45 per cent of corporatized firms, and 71 per cent of new private firms in consumer goods sectors. (See Table A3.) All privatized firms in the sample had highly concentrated ownership: except for privatization funds, the average holdings of private parties in the position of the largest owner were majority holdings. The sole exception – privatization funds – was due to legal limitations. All of these institutions in our sample were in the Czech Republic, and their individual holdings in any one firm were legally capped at 20 per cent. Even then, the combined holdings of different funds (which often co-operated with each other) in a single firm typically added up to a majority. The most frequent among those owners in our sample are foreign investors (the largest shareholders in nearly 30 per cent of privatized firms), followed by managerial or non-managerial employees (over 20 per cent of privatized firms.) (See Table A4). 14 We have no reason to believe that the incompleteness of data for certain firms introduces any systematic bias ‘in favour of’ or ‘against’ any group of firms. The most common reason for incompleteness was lack of availability or an obvious misunderstanding of the meaning of certain questions, such as those concerning the initial period for which data were to have been provided. OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 599 Table A1. Distributions of initial and last-period revenues and employment Initial / ending revenue (US$ mil, constant prices) Firm type Initial / ending employment Firms Mean Median Firms Mean Median 30 38 18 75 55 7.80/5.32 23.1/15.9 4.65/4.82 16.1/15.9 5.05/6.98 5.39/4.19 12.2/8.47 2.93/2.38 8.90/8.88 1.16/2.68 30 37 16 63 55 663/424 807/639 304/305 752/670 165/192 532/349 536/445 187/168 466/384 88/140 ALL COUNTRIES State Corporatized Privatized, insider-owned Privatized, outsider-owned Private CZECH REPUBLIC State Corporatized Privatized, insider-owned Privatized, outsider-owned Private 11 5 4 39 11 12.57/7.44 10.86/5.44 37.36/26.74 39.74/19.50 3.10/4.72 2.93/4.12 15.01/17.21 5.71/8.64 2.51/4.83 1.48/2.41 10 6 3 30 7 859/454 1832/1249 201/241 860/808 123/164 565/372 2168/1349 199/281 488/373 43/123 25 14 30 21 21.27/13.30 5.09/4.8316. 89/13.48 2.32/3.01 8.09/6.14 2.87/2.24 11.95/8.66 0.57/1.43 24 13 27 22 506/416 329/320 553/473 138/172 334/290 178/155 400/366 83/119 5.04/4.10 5.02/3.57 HUNGARY Corporatized Privatized, insider-owned Privatized, outsider-owned Private POLAND State 19 20 565/410 471/324 Corporatized Privatized, outsider-owned 8 6 19.81/17.18 14.60/12.86 19.45/19.52 21.64/17.76 7 6 963/881 1107/861 969/902 787/752 Private 23 8.77/11.63 26 199/217 116/151 4.44/7.73 FRYDMAN, GRAY, HESSEL and RAPACZYNSKI 600 Table A2. Country distribution of sample firms Firm type State firms** of which corporatized Czech Republic 16 5 Hungary Poland* All 25 25 27 8 68 38 43 44 6 93 5 38 11 70 12 13 19 21 90 2 4 23 56 14 22 57 55 216 Privatized firms of which privatized in 1990*** privatized in 1991 privatized in 1992 Private firms All Notes: *Because many Polish firms were privatized late (after 1992) and many were privatized through leasing (and are thus excluded from the subsample used in this paper), most of the privatized firms in the subsample are in Hungary or the Czech Republic. **Extensive tests revealed no significant performance differences between state and corporatized firms in our sample. ***In the Czech Republic, the year of privatization refers to the year in which the new owners assumed control rather than the year during which the shares were formally distributed Table A3. Sectoral distribution of sample firms (two-digit sic codes) Industrial sector Food & beverages Clothing Furniture Textile Leather Chemicals Non-ferrous minerals Other Percentage (number) of firms State Corporatized Privatized Private 20%(6) 17%(5) 27%(8) 13%(4) 13%(4) 10%(3) 24%(9) 8%(3) 13%(5) 16%(6) 13%(5) 16%(6) 8%(3) 2%(1) 29%(27) 18%(17) 9%(8) 9%(8) 7%(7) 9%(8) 18%(17) 1%(1) 22%(12) 40%(22) 9%(5) 5%(3) 11%(6) 4%(2) 9%(5) - OWNERSHIP AND HARD BUDGET CONSTRAINTS IN THE TRANSITION ECONOMIES 601 Table A4. Ownership structure of privatized firms Shareholder Foreign company Czech Republic Hungary Poland Privatization fund Czech Republic Domestic non-financial company Czech Republic Hungary Poland Domestic individual Czech Republic Hungary Poland State or state-owned company Czech Republic Hungary Poland Managerial employees Czech Republic Hungary Poland Non-managerial employees Hungary Number of firms in which the shareholder is the largest owner 29 8 19 2 17 17 9 5 2 2 6 3 2 1 14 6 7 1 8 4 4 10 10 Mean holdings when the shareholder is the largest owner 78% 72% 84% 40% 20% 20% 71% 73% 77% 60% 61% 60% 52% 80% 44% 36% 49% 60% 78% 87% 69% 74% 74%
© Copyright 2026 Paperzz